GPT-4 Is Capable Of Exploiting 87% Of One-Day Vulnerabilities

Large language models (LLMs) have achieved superhuman performance on many benchmarks, leading to a surge of interest in LLM agents capable of taking action, self-reflecting, and reading documents.  While these agents have shown potential in areas like software engineering and scientific discovery, their ability in cybersecurity remains largely unexplored.  Cybersecurity researchers Richard Fang, Rohan Bindu, […]

The post GPT-4 Is Capable Of Exploiting 87% Of One-Day Vulnerabilities appeared first on Cyber Security News.

action agents benchmarks cyber security cybersecurity cyber-security-research discovery documents engineering exploiting gpt gpt-4 interest language language models large llm llms performance reflecting researchers scientific software software engineering vulnerabilities vulnerability